countryStatusRangeAnalysis: Range analysis

In occTest: Characterizing and Filtering Species Occurrence Data

Range analysis

Description

Identify and filter species records based on countries where species is considered native or alien.

Usage

countryStatusRangeAnalysis(
  df,
  xf,
  yf,
  .ntv.ctry,
  .inv.ctry,
  .c.field,
  .points.proj4string,
  .countries.shapefile,
  cfsf,
  excludeUnknownRanges = FALSE,
  excludeNotmatchCountry = FALSE,
  doRangeAnalysis = TRUE,
  verbose = FALSE
)

Arguments

df	data.frame of species occurrences
xf	character. The field in the data.frame containing the x coordinates
yf	character. The field in the data.frame containing the y coordinates
.ntv.ctry	character. Native country in ISO3 coding
.inv.ctry	character. Invasive country in ISO3 coding
.c.field	character. Country field in the species data.frame (df)
.points.proj4string	Proj4string for the occurrence data
.countries.shapefile	spatialPolygonDataFrame of political divisions
cfsf	character. Column name of the .country spatialPolygonDataFrame indicaing the country in ISO3 codeing.
excludeUnknownRanges	logical. Should records be filtered if located in countries outside .ntv.ctry or .inv.ctry? Defalut FALSE
excludeNotmatchCountry	Should records be if the reported country is different than the locatoin country? . Default FALSE
doRangeAnalysis	logical. Should range analysis be performed?
verbose	logical. Print messages? Default FALSE

Details

It returns a list with two elements: stay (records that are excluded/filtered), continue (records that are not excluded from the filtering process)

Value

list

Author(s)

Josep M Serra-Diaz ([e-mail])

See Also

Other analysis: .nearestcell3(), centroidDetection(), duplicatesexcludeAnalysis(), geoEnvAccuracy(), humanDetection()

occTest documentation built on Nov. 18, 2022, 5:07 p.m.